IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p5054-d1095590.html
   My bibliography  Save this article

Optimal Parameter Identification of Single-Sensor Fractional Maximum Power Point Tracker for Thermoelectric Generator

Author

Listed:
  • Abdul Ghani Olabi

    (Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

  • Hegazy Rezk

    (Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Wadi Alddawasir 11991, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

  • Enas Taha Sayed

    (Chemical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

  • Tabbi Awotwe

    (Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

  • Samah Ibrahim Alshathri

    (Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

  • Mohammad Ali Abdelkareem

    (Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

Abstract

A thermoelectric generator (TEG) is used for converting temperature difference and into DC directly to electric energy based on the Seebeck effect. This new technology has attracted researchers of sustainable energy. The energy obtained from the TEG depends on the temperature difference between the two sides of the TEG. A reliable MPP “maximum power point” tracker (MPPT) is mandatory to guarantee that the TEG is working close to the MPP under different operational conditions. There are two common methods that have been widely used to track the MPP: hill climbing (HC) and incremental conductance (INR). The HC method is very fast in tracking the MPP; however, oscillation can occur under a high steady state. On the contrary, the INR method needs more time to track the MPP but does not oscillate around the MPP. To overcome these issues, fractional control is adopted. Furthermore, the proposed MPPT requires only a single current sensor, as opposed to conventional MPPTs, which require at least two sensors: current and voltage sensors. The cost of the control system is reduced when the number of sensors is reduced. Hunger games search optimization is used to estimate the parameters of a single sensor optimized fractional MPPT (OFMPPT). During the optimization process, three parameters were assigned as decision variables: proportional gain, integral gain, and order, with the objective function being the TEG’s energy. The results demonstrated the superiority of OFMPPT in both transient and steady state compared to HC and INR.

Suggested Citation

  • Abdul Ghani Olabi & Hegazy Rezk & Enas Taha Sayed & Tabbi Awotwe & Samah Ibrahim Alshathri & Mohammad Ali Abdelkareem, 2023. "Optimal Parameter Identification of Single-Sensor Fractional Maximum Power Point Tracker for Thermoelectric Generator," Sustainability, MDPI, vol. 15(6), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5054-:d:1095590
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/5054/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/5054/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. G. Olabi & Tabbi Wilberforce & Enas Taha Sayed & Nabila Shehata & Abdul Hai Alami & Hussein M. Maghrabie & Mohammad Ali Abdelkareem, 2022. "Prospect of Post-Combustion Carbon Capture Technology and Its Impact on the Circular Economy," Energies, MDPI, vol. 15(22), pages 1-38, November.
    2. Sayed, Enas Taha & Abdelkareem, Mohammad Ali & Bahaa, Ahmed & Eisa, Tasnim & Alawadhi, Hussain & Al-Asheh, Sameer & Chae, Kyu-Jung & Olabi, A.G., 2021. "Synthesis and performance evaluation of various metal chalcogenides as active anodes for direct urea fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. He, Wei & Zhang, Gan & Zhang, Xingxing & Ji, Jie & Li, Guiqiang & Zhao, Xudong, 2015. "Recent development and application of thermoelectric generator and cooler," Applied Energy, Elsevier, vol. 143(C), pages 1-25.
    4. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.
    5. Han, Yuan & Lai, Cong & Li, Jiarui & Zhang, Zhufeng & Zhang, Houcheng & Hou, Shujin & Wang, Fu & Zhao, Jiapei & Zhang, Chunfei & Miao, He & Yuan, Jinliang, 2022. "Elastocaloric cooler for waste heat recovery from proton exchange membrane fuel cells," Energy, Elsevier, vol. 238(PA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hegazy Rezk & Abdul Ghani Olabi & Rania M. Ghoniem & Mohammad Ali Abdelkareem, 2023. "Optimized Fractional Maximum Power Point Tracking Using Bald Eagle Search for Thermoelectric Generation System," Energies, MDPI, vol. 16(10), pages 1-15, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmed M. Nassef, 2023. "Improving CO 2 Absorption Using Artificial Intelligence and Modern Optimization for a Sustainable Environment," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    2. Zhang, Yong & He, Shirong & Jiang, Xiaohui & Xiong, Mu & Ye, Yuntao & Yang, Xi, 2023. "Three-dimensional multi-phase simulation of proton exchange membrane fuel cell performance considering constriction straight channel," Energy, Elsevier, vol. 267(C).
    3. Cui, Tengfei & Xuan, Yimin & Yin, Ershuai & Li, Qiang & Li, Dianhong, 2017. "Experimental investigation on potential of a concentrated photovoltaic-thermoelectric system with phase change materials," Energy, Elsevier, vol. 122(C), pages 94-102.
    4. Selcuk Bulat & Erdal Büyükbicakci & Mustafa Erkovan, 2024. "Efficiency Enhancement in Photovoltaic–Thermoelectric Hybrid Systems through Cooling Strategies," Energies, MDPI, vol. 17(2), pages 1-12, January.
    5. Selimefendigil, Fatih & Öztop, Hakan F., 2020. "Identification of pulsating flow effects with CNT nanoparticles on the performance enhancements of thermoelectric generator (TEG) module in renewable energy applications," Renewable Energy, Elsevier, vol. 162(C), pages 1076-1086.
    6. Zhang, Xin & Li, Jingwen & Xiong, Yi & Ang, Yee Sin, 2022. "Efficient harvesting of low-grade waste heat from proton exchange membrane fuel cells via thermoradiative power devices," Energy, Elsevier, vol. 258(C).
    7. Rasel, Mohammad Sala Uddin & Park, Jae-Yeong, 2017. "A sandpaper assisted micro-structured polydimethylsiloxane fabrication for human skin based triboelectric energy harvesting application," Applied Energy, Elsevier, vol. 206(C), pages 150-158.
    8. Nie, Wenjie & Lü, Ke & Chen, Aixi & He, Jizhou & Lan, Yueheng, 2018. "Performance optimization of single and two-stage micro/nano-scaled heat pumps with internal and external irreversibilities," Applied Energy, Elsevier, vol. 232(C), pages 695-703.
    9. Soprani, S. & Haertel, J.H.K. & Lazarov, B.S. & Sigmund, O. & Engelbrecht, K., 2016. "A design approach for integrating thermoelectric devices using topology optimization," Applied Energy, Elsevier, vol. 176(C), pages 49-64.
    10. Shen, Rong & Gou, Xiaolong & Xu, Haoyu & Qiu, Kuanrong, 2017. "Dynamic performance analysis of a cascaded thermoelectric generator," Applied Energy, Elsevier, vol. 203(C), pages 808-815.
    11. Olgun Aydin & Bartłomiej Igliński & Krzysztof Krukowski & Marek Siemiński, 2022. "Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland," Energies, MDPI, vol. 15(9), pages 1-22, April.
    12. Duan, Mengfan & Sun, Hongli & Lin, Borong & Wu, Yifan, 2021. "Evaluation on the applicability of thermoelectric air cooling systems for buildings with thermoelectric material optimization," Energy, Elsevier, vol. 221(C).
    13. A. G. Olabi & Khaled Obaideen & Mohammad Ali Abdelkareem & Maryam Nooman AlMallahi & Nabila Shehata & Abdul Hai Alami & Ayman Mdallal & Asma Ali Murah Hassan & Enas Taha Sayed, 2023. "Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    14. Yin, Ershuai & Li, Qiang & Xuan, Yimin, 2018. "Optimal design method for concentrating photovoltaic-thermoelectric hybrid system," Applied Energy, Elsevier, vol. 226(C), pages 320-329.
    15. Zhao, Qin & Li, Pengcheng & Zhang, Houcheng, 2024. "Dually boosting the performance of photovoltaic module via integrating elastocaloric cooler," Energy, Elsevier, vol. 295(C).
    16. Wang, Mingli & Ruan, Jiafen & Zhang, Jian & Jiang, Yefan & Gao, Fei & Zhang, Xin & Rahman, Ehsanur & Guo, Juncheng, 2024. "Modeling, thermodynamic performance analysis, and parameter optimization of a hybrid power generation system coupling thermogalvanic cells with alkaline fuel cells," Energy, Elsevier, vol. 292(C).
    17. Aravind, B. & Khandelwal, Bhupendra & Ramakrishna, P.A. & Kumar, Sudarshan, 2020. "Towards the development of a high power density, high efficiency, micro power generator," Applied Energy, Elsevier, vol. 261(C).
    18. Ren, Xiao & Li, Jing & Gao, Datong & Wu, Lijun & Pei, Gang, 2021. "Analysis of a novel photovoltaic/thermal system using InGaN/GaN MQWs cells in high temperature applications," Renewable Energy, Elsevier, vol. 168(C), pages 11-20.
    19. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.
    20. Liu, Hongdou & Yang, Hongquan & Qi, Ronghui, 2020. "A review of electrically driven dehumidification technology for air-conditioning systems," Applied Energy, Elsevier, vol. 279(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5054-:d:1095590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.